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CONSeQuence: Prediction of Reference Peptides for Absolute Quantitative Proteomics Using Consensus Machine Learning Approaches
Mass spectrometric based methods for absolute quantification of proteins, such as QconCAT, rely on internal standards of stable-isotope labeled reference peptides, or “Q-peptides,” to act as surrogates. Key to the success of this and related methods for absolute protein quantification (such as AQUA)...
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| 主要な著者: | , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
The American Society for Biochemistry and Molecular Biology
2011
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3226394/ https://ncbi.nlm.nih.gov/pubmed/21813416 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1074/mcp.M110.003384 |
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